| Description |
1 online resource (xii, 237 pages) : illustrations |
| Contents |
Preface; CONTENTS; 1 Overview of Text Mining; 2 From Textual Information to Numerical Vectors; 3 Using Text for Prediction; 4 Information Retrieval and Text Mining; 5 Finding Structure in a Document Collection; 6 Looking for Information in Documents; 7 Case Studies; 8 Emerging Directions; Appendix: Software Notes; A.1 Summary of Software; A.2 Requirements; A.3 Download Instructions; References; Author Index; Subject Index |
| Summary |
Text mining searches for regularities, patterns or trends in natural language text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It is for researchers, computer scientists, and advanced undergraduates and graduates |
| Bibliography |
Includes bibliographical references (pages 217-228) and index |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
Data mining.
|
|
Data Mining
|
|
Informatique.
|
|
Data mining
|
|
Datamining.
|
|
Tekstanalyse.
|
|
Mineração de dados.
|
|
Recuperação da informação.
|
| Form |
Electronic book
|
| Author |
Weiss, Sholom M.
|
| LC no. |
2004056524 |
| ISBN |
0387954333 |
|
9780387954332 |
|
9780387345550 |
|
0387345558 |
|
